Crawl4AI
Python crawler that renders pages in a real browser and returns clean Markdown or structured data for LLMs.
About
Point this Python library at a URL and it drives a real browser through Playwright, renders the page, and hands back Markdown tidied for language models, with optional filters that strip navigation and boilerplate or keep only passages relevant to a query. Beyond single pages it offers breadth-first, depth-first and best-first deep crawls that can pick up again after a crash, URL discovery from sitemaps and Common Crawl, sessions with saved logins, proxy rotation, a stealth mode, and screenshot or PDF capture. Structured output comes either from CSS or XPath schemas with no model involved, or from an LLM of your choice routed through LiteLLM, local Ollama included. Install with pip and run the setup command to fetch a browser; a Docker image adds a token-protected REST server, an MCP endpoint and a monitoring dashboard, and the crwl CLI handles quick jobs. Apache 2.0 governs the code, but the license file adds a clause requiring visible credit to the project in any public use. A paid hosted API exists, but the library is complete without it. Good for RAG builders and agent developers who want web data on their own hardware.
Should you use Crawl4AI?
Pick it when
Pick Crawl4AI when you need to turn many web pages, including JavaScript-heavy ones, into clean Markdown for RAG or agent context on your own machines, crawling concurrently without paying per page to a hosted extraction API.
Look elsewhere when
It reads pages; it does not operate them. For logins, multi-step forms, or clicking through flows, use Browser Use or Stagehand. If you would rather not run crawlers and browsers yourself, Firecrawl's hosted API takes that work off your hands.
Alternatives to Crawl4AI
- Firecrawl
Hosted API with a self-host option and prompt-based extraction; less infrastructure to run, but AGPL-3.0 licensed and a third-party service by default.
- Crawlee
Mature crawler with proxy rotation and anti-bot behavior for Node.js and Python; stronger at scale, no LLM-ready Markdown focus.
- ScrapeGraphAI
Describe the data you want in plain language and an LLM builds the pipeline; flexible, but every run spends model calls.
- Browser Use
An agent drives a real browser through interactive flows; handles logins and forms but is slower and costlier for bulk reading.
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Details
- Category
- RAG & Document Retrieval
- Price
- Free
- Platform
- Local/Desktop
- Difficulty
- Beginner (1/5)
- License
- Apache-2.0
- Added
- Apr 3, 2026